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agentic-mcp

Agentic MCP - Three-layer progressive disclosure for MCP servers with Socket daemon. Use when the user needs to interact with MCP servers, query available tools, call MCP tools, or manage the MCP daemon process. Provides socket-based communication for efficient server interaction with three-layer progressive disclosure API.

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https://deepseekmodel.com/api/download.php?id=cablate-agentic-mcp-skill-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name agentic-mcp description Agentic MCP - Three-layer progressive disclosure for MCP servers with Socket daemon. Use when the user needs to interact with MCP servers, query available tools, call MCP tools, or manage the MCP daemon process. Provides socket-based communication for efficient server interaction with three-layer progressive disclosure API. Agentic MCP Quick start agentic-mcp daemon start --config <mcp-servers.json path> # Start daemon agentic-mcp metadata <server-name> # Get server info agentic-mcp list <server-name> # List tools agentic-mcp schema <server-name> <tool-name> # Get tool schema agentic-mcp call <server-name> <tool-name> --params '{"arg":"value"}' # Call tool agentic-mcp daemon stop # Stop daemon Core workflow agentic-mcp daemon start - Start daemon agentic-mcp metadata <server> - Layer 1: server info agentic-mcp list <server> - Layer 2: available tools agentic-mcp schema <server> <tool> - Layer 3: tool details agentic-mcp call <server> <tool> --params '{"arg":"value"}' - Execute tool Daemon management agentic-mcp daemon start # Start daemon agentic-mcp daemon health # Check status agentic-mcp daemon reload # Reload config agentic-mcp daemon stop # Stop daemon agentic-mcp daemon start --config <path> # Custom config Sessions (isolated instances): MCP_DAEMON_SESSION=<name> agentic-mcp daemon start Query commands agentic-mcp metadata <server> # Server info agentic-mcp list <server> # List tools agentic-mcp schema <server> <tool> # Tool schema agentic-mcp daemon health # Check daemon status Tool calls agentic-mcp call <server> <tool> --params '{"argName":"value"}' All parameters must be JSON object via --params . JSON mode : agentic-mcp metadata <server> --json agentic-mcp call <server> <tool> --params '{"arg":"value"}' --json Configuration mcp-servers.json : { "servers" : { "<server-name>" : { "command" : "npx" , "args" : [ "-y" , "@scope/mcp-server" ] } } } Socket protocol Command (newline-delimited JSON): { "id" : "1" , "action" : "metadata" , "server" : "<server>" } Response : { "id" : "1" , "success" : true , "data" : { ... } } Platform : Windows (TCP) / Unix (domain socket) Examples Basic usage : agentic-mcp daemon start agentic-mcp metadata <server> agentic-mcp list <server> agentic-mcp schema <server> <tool> agentic-mcp call <server> <tool> --params '{"arg":"value"}' Multiple sessions : MCP_DAEMON_SESSION=proj1 agentic-mcp daemon start MCP_DAEMON_SESSION=proj2 agentic-mcp daemon start Debugging agentic-mcp daemon health # Check status agentic-mcp daemon reload # Reload after config change Errors ✗ MCP daemon is not running ✗ Server '<name>' not found ✗ Tool '<name>' not found ✗ Required argument '<name>' not provided
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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